V
Vivek Kulkarni
Researcher at Stanford University
Publications - 48
Citations - 4379
Vivek Kulkarni is an academic researcher from Stanford University. The author has contributed to research in topics: Language model & Word usage. The author has an hindex of 19, co-authored 45 publications receiving 3727 citations. Previous affiliations of Vivek Kulkarni include Stony Brook University & University of California, Santa Barbara.
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Theano: A Python framework for fast computation of mathematical expressions
Rami Al-Rfou,Guillaume Alain,Amjad Almahairi,Christof Angermueller,Dzmitry Bahdanau,Nicolas Ballas,Frédéric Bastien,Justin Bayer,Anatoly Belikov,Alexander Belopolsky,Yoshua Bengio,Arnaud Bergeron,James Bergstra,Valentin Bisson,Josh Bleecher Snyder,Nicolas Bouchard,Nicolas Boulanger-Lewandowski,Xavier Bouthillier,Alexandre de Brébisson,Olivier Breuleux,Pierre Luc Carrier,Kyunghyun Cho,Jan Chorowski,Paul F. Christiano,Tim Cooijmans,Marc-Alexandre Côté,Myriam Côté,Aaron Courville,Yann N. Dauphin,Olivier Delalleau,Julien Demouth,Guillaume Desjardins,Sander Dieleman,Laurent Dinh,Mélanie Ducoffe,Vincent Dumoulin,Samira Ebrahimi Kahou,Dumitru Erhan,Ziye Fan,Orhan Firat,Mathieu Germain,Xavier Glorot,Ian Goodfellow,Matthew M. Graham,Caglar Gulcehre,Philippe Hamel,Iban Harlouchet,Jean-Philippe Heng,Balázs Hidasi,Sina Honari,Arjun Jain,Sébastien Jean,Kai Jia,Mikhail Korobov,Vivek Kulkarni,Alex Lamb,Pascal Lamblin,Eric Larsen,César Laurent,Sean Lee,Simon Lefrancois,Simon Lemieux,Nicholas Léonard,Zhouhan Lin,Jesse A. Livezey,Cory Lorenz,Jeremiah Lowin,Qianli Ma,Pierre-Antoine Manzagol,Olivier Mastropietro,Robert T. McGibbon,Roland Memisevic,Bart van Merriënboer,Vincent Michalski,Mehdi Mirza,Alberto Orlandi,Chris Pal,Razvan Pascanu,Mohammad Pezeshki,Colin Raffel,Daniel Renshaw,Matthew Rocklin,Adriana Romero,Markus Roth,Peter Sadowski,John Salvatier,François Savard,Jan Schlüter,John Schulman,Gabriel Schwartz,Iulian Vlad Serban,Dmitriy Serdyuk,Samira Shabanian,Étienne Simon,Sigurd Spieckermann,S. Ramana Subramanyam,Jakub Sygnowski,Jérémie Tanguay,Gijs van Tulder,Joseph Turian,Sebastian Urban,Pascal Vincent,Francesco Visin,Harm de Vries,David Warde-Farley,Dustin J. Webb,Matthew Willson,Kelvin Xu,Lijun Xue,Li Yao,Saizheng Zhang,Ying Zhang +111 more
TL;DR: The performance of Theano is compared against Torch7 and TensorFlow on several machine learning models and recently-introduced functionalities and improvements are discussed.
Journal ArticleDOI
The Diversity-Innovation Paradox in Science
Bas Hofstra,Vivek Kulkarni,Sebastian Munoz-Najar Galvez,Bryan He,Dan Jurafsky,Daniel A. McFarland +5 more
TL;DR: This paper used text analysis and machine learning to answer a series of questions: How do we detect scientific innovations? Are underrepresented groups more likely to generate scientific innovations, and are the innovations of under-represented groups adopted and rewarded?
Proceedings ArticleDOI
Statistically Significant Detection of Linguistic Change
TL;DR: This paper proposed a new computational approach for tracking and detecting statistically significant linguistic shifts in the meaning and usage of words on the Internet, where rapid exchange of ideas can quickly change a word's meaning.
Proceedings ArticleDOI
Don't Walk, Skip!: Online Learning of Multi-scale Network Embeddings
TL;DR: WalkLeTS as mentioned in this paper generates multiscale representations by sub-sampling short random walks on the vertices of a graph, which can be used to learn a series of latent representations, each of which captures successively higher order relationships from the adjacency matrix.
Proceedings Article
POLYGLOT-NER: Massive Multilingual Named Entity Recognition
TL;DR: This article proposed a system that builds massive multilingual annotators with minimal human expertise and intervention using Wikipedia and Freebase data sets, which does not require NER human annotated datasets or language specific resources like treebanks, parallel corpora, and orthographic rules.